Percentage of qualified teachers in pre-primary education, adjusted gender parity index (GPIA) by country
The Adjusted Gender Parity Index (GPIA) is calculated by dividing the female value for the indicator by the male value for the indicator. If the resulting value exceeds 1, the ratio is inverted and subtracted from 2. The adjusted gender parity index is symmetrical around 1 and lies in the range 0-2. An adjusted GPI...
What the numbers show
Percentage of qualified teachers in pre-primary education, adjusted gender parity index (GPIA) is currently reported for 34 countries. The highest value is 2.0% in Albania; the lowest is 0.9% in Seychelles.
The median across all reporting countries is 1.0%, and the mean is 1.2%.
The gap between the highest and lowest reporting country is a factor of about 2.
Over the past decade 11 countries rose and 7 fell. The largest increase was in Azerbaijan (up 14,034.3%), and the largest decrease in Seychelles (down 56.0%).
Percentage of qualified teachers in pre-primary education, adjusted: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | Albania | 2.0% | 2019 | unchanged | flat |
| 1 | Jordan | 2.0% | 2019 | up 100.0% | rising |
| 1 | Azerbaijan | 2.0% | 2019 | up 14,034.3% | volatile |
| 1 | Qatar | 2.0% | 2019 | up 100.0% | rising |
| 1 | Bahamas | 2.0% | 2018 | up 61.1% | rising |
| 1 | Saudi Arabia | 2.0% | 2019 | unchanged | flat |
| 7 | Belarus | 1.8% | 2018 | — | flat |
| 8 | Belize | 1.5% | 2019 | up 28.2% | falling |
| 9 | China | 1.2% | 2019 | — | flat |
| 10 | Nepal | 1.2% | 2019 | down 24.4% | falling |
| 11 | Ecuador | 1.1% | 2018 | up 1.5% | flat |
| 12 | Niger | 1.0% | 2019 | up 3.2% | rising |
| 13 | Laos | 1.0% | 2018 | — | falling |
| 14 | Dominican Republic | 1.0% | 2018 | up 0.7% | flat |
| 15 | Rwanda | 1.0% | 2019 | up 3.7% | rising |
| 16 | Oman | 1.0% | 2019 | unchanged | flat |
| 16 | Andorra | 1.0% | 2019 | unchanged | flat |
| 16 | Senegal | 1.0% | 2019 | down 20.6% | falling |
| 16 | Serbia | 1.0% | 2019 | unchanged | flat |
| 16 | Malaysia | 1.0% | 2019 | unchanged | flat |
| 16 | Cote d'Ivoire | 1.0% | 2019 | down 5.8% | falling |
| 16 | Benin | 1.0% | 2019 | up 63.0% | rising |
| 16 | Bahrain | 1.0% | 2019 | unchanged | flat |
| 16 | Barbados | 1.0% | 2019 | up 7.0% | flat |
| 16 | Brunei | 1.0% | 2019 | — | flat |
| 16 | Bhutan | 1.0% | 2020 | unchanged | flat |
| 16 | Mauritius | 1.0% | 2019 | unchanged | flat |
| 16 | Hong Kong | 1.0% | 2019 | unchanged | flat |
| 16 | Cambodia | 1.0% | 2018 | unchanged | flat |
| 16 | Macao | 1.0% | 2019 | unchanged | flat |
| 31 | Costa Rica | 1.0% | 2019 | down 0.3% | flat |
| 32 | Madagascar | 1.0% | 2019 | down 17.2% | falling |
| 33 | Sri Lanka | 1.0% | 2018 | down 3.4% | flat |
| 34 | Seychelles | 0.9% | 2019 | down 56.0% | falling |
Regions and income groups
Aggregates are excluded from the country ranking above so that a region can never outrank a country.
- East Asia & Pacific (IDA & IBRD countries) 1.2%
- World 1.1%
- East Asia & Pacific (excluding high income) 1.2%
- East Asia & Pacific 1.2%
- Late-demographic dividend 1.1%
- Upper middle income 1.1%
- Other small states 1.1%
- Middle income 1.1%
- Low & middle income 1.1%
- IBRD only 1.1%
- Middle East, North Africa, Afghanistan & Pakistan (IDA & IBRD) 1.0%
- Middle East, North Africa, Afghanistan & Pakistan 1.0%
- Small states 1.0%
- Arab World 1.0%
- Heavily indebted poor countries (HIPC) 1.0%
- Pacific island small states 1.0%
- Least developed countries 0.9%
- IDA only 0.9%
- Caribbean Small States 0.9%
- Sub-Saharan Africa 0.9%
- Sub-Saharan Africa (IDA & IBRD countries) 0.9%
- Sub-Saharan Africa (excluding high income) 0.9%
About this data
The Adjusted Gender Parity Index (GPIA) is calculated by dividing the female value for the indicator by the male value for the indicator. If the resulting value exceeds 1, the ratio is inverted and subtracted from 2. The adjusted gender parity index is symmetrical around 1 and lies in the range 0-2. An adjusted GPI equal to 1 indicates parity between females and males. In general, a value less than 1 indicates disparity in favor of males and a value greater than 1 indicates disparity in favor of females. For more information, consult the UNESCO Institute for Statistics: http://uis.unesco.org/